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Medicine

FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare

Jacob Idoko, Siddhartha Paudel, Mariana Bento, Roberto Souza, Gouri Ginde

Featured September 8, 2026

Original Paper

AI-generated analysis — This is SciGrove's AI interpretation of the paper, not peer-reviewed content. Always refer to the original paper.

Simply

A new system called FLARE helps hospitals figure out if using AI is actually worth the money by carefully tracking all costs and savings, even when things are uncertain, to see if it pays off.

In depth
The paper introduces FLARE, a novel framework that systematically evaluates the economic viability of AI adoption in healthcare. It integrates fuzzy logic with time-driven activity-based costing (TDABC) and return on investment (ROI) analysis to quantify costs and benefits under uncertainty, providing a comprehensive lifecycle perspective beyond mere model accuracy.

Key Takeaways

  • 1
    The FLARE framework combines fuzzy logic, TDABC, and ROI analysis to offer an uncertainty-aware economic evaluation of AI solutions in healthcare.
  • 2
    The framework quantifies AI adoption costs across its full lifecycle, encompassing development, recurring operations, and service delivery, addressing a critical gap in existing evaluations.
  • 3
    It generates transparent economic metrics such as annual and cumulative ROI, net savings, and break-even points, explicitly accounting for variability in activity times and resource utilization.

Conceptual Flow

HIGH LEVEL
1
Methodology (The 'Logic')

The system combines three tools: one to track costs by time, another to handle fuzzy uncertain times, and a third to calculate if the investment makes money.

Activity Times
Resource Costs
Uncertainty
Combine & Calculate
AI Investment Value
2
Results (The 'Impact')

The study found that AI can save money, but only if enough patients use it, showing when the investment starts to pay for itself.

Patient Volume
AI Costs
Savings
Find Break-Even
Economic Viability

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